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Multi Layer Perceptron , CNN and Transfer Learning

In this question, you will perform multi-class classification on animals data set (Alessio, 2018). Specifically, you will implement a neural network with two hidden layers to distinguish 10 different animals from each other. The dataset has been preprocessed in such a way that each class has 200 samples and each sample is an image of size 100x100x3.

Download the dataset from the following link: https://drive.google.com/file/d/1rc6WbpzbLaYahK4AloPmbsEH2u_OsrKC/view

In this repository, there are three different perspectives for the classification problem that given above:

- Multi Layer Perceptron (MLP)

- Convolutional Neural Network (CNN)

- Transfer Learning

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